Add comprehensive tests and optimizations for simulation and UI performance

- Introduced a new benchmark save script to create a stress test scenario with extreme values for simulation performance.
- Added a full UI benchmark script to measure frame rates and performance metrics during UI interactions.
- Implemented tests for coarse generations to ensure population transitions are handled correctly.
- Created tests for extra parameters to validate the loading and application of configuration settings.
- Developed simulation optimization tests to verify the efficiency of population drift and rounding mechanisms.
- Added split optimization tests to ensure accurate allocation and rounding behavior in population management.
- Included startup parameter tests to confirm the correct initialization of global parameters before scene readiness.
- Enhanced the audit rounding ledger to compare selective and full rounding results for consistency.

stage/stage.gd

@@ -9,6 +9,10 @@ const ItemDescription = preload("res://world/owniverse/item_description.gd")
 const WorldIndicators = preload("res://ui/indicators/world_indicators.gd")
 var world_indicators: RefCounted
 var indicator_elapsed: float = 0.0
+var indicator_revision: int = -1
+var actions_revision: int = -1
+var descriptions_revision: int = -1
+var displayed_year: Variant = null
 var description_targets: Dictionary = {}
 var description_samples: Dictionary = {}
 var description_rates: Dictionary = {}
@@ -159,6 +163,11 @@ func _update_descriptions(delta: float) -> void:
     description_elapsed += delta
     if description_elapsed < 0.25:
         return
+    if descriptions_revision == owniverse.presentation.revision:
+        var has_rate: bool = false
+        for rate in description_rates.values(): has_rate = has_rate or E.ne(rate, 0)
+        if not has_rate: return
+    descriptions_revision = owniverse.presentation.revision
     for page in description_targets:
         var id: String = description_targets[page].id
         var total = ItemDescription.quantities(owniverse, id).total
@@ -347,6 +356,10 @@ func create_new_universe() -> void:
         g_tween.kill()
     g_active_items.clear()
     description_targets.clear()
+    indicator_revision = -1
+    actions_revision = -1
+    descriptions_revision = -1
+    displayed_year = null
     description_samples.clear()
     description_rates.clear()
     description_elapsed = 0.0
@@ -380,12 +393,15 @@ func _process(delta: float) -> void:
 
     owniverse.evolute_frame(delta, get_tree())
     indicator_elapsed += delta
-    if indicator_elapsed >= 0.1:
+    if indicator_elapsed >= 0.1 and indicator_revision != owniverse.presentation.revision:
         indicator_elapsed = 0.0
         world_indicators.update(owniverse)
+        indicator_revision = owniverse.presentation.revision
     _update_descriptions(delta)
-    set_owniverse_item_value()
-    set_datetime(owniverse.state.time.year)
+    if not owniverse.presentation.pending_amounts.is_empty(): set_owniverse_item_value()
+    if displayed_year == null or E.ne(displayed_year, owniverse.state.time.year):
+        set_datetime(owniverse.state.time.year)
+        displayed_year = owniverse.state.time.year
 
     #owniverse.cycle(delta)
 
@@ -397,10 +413,11 @@ func _process(delta: float) -> void:
     # them when selection changes and at a modest cadence instead of every
     # rendered frame. The simulation itself continues to run every frame.
     active_actions_elapsed += delta
-    if active_actions_dirty or active_actions_elapsed >= 0.1:
+    if active_actions_dirty or (active_actions_elapsed >= 0.1 and actions_revision != owniverse.presentation.revision):
         active_actions_elapsed = 0.0
         active_actions_dirty = false
         _set_active_page_actions()
+        actions_revision = owniverse.presentation.revision
 
 
 func _change_speed(delta: int) -> void: